Course: Accelerated Engineering Calculus II Instructor: Michael Medvinsky 6.5 Curl and Divergence (13.5) Def: Let F = P,Q, R be a vector field on 3 and partial derivatives of P,Q,R all exists, then -­‐ the curl of F is defined as ⎛ i ⎜ d curlF = ∇ × F = det ⎜ ⎜ dx ⎜ ⎝ P j d dy Q k ⎞ ⎟ d ⎟ ∂R ∂Q ∂P ∂R ∂Q ∂P = − , − , − dz ⎟ ∂y ∂z ∂z ∂x ∂x ∂y ⎟ R ⎠ -­‐ the divergence of F is defined as ∂ ∂ ∂ ∂P ∂Q ∂R , , ⋅ P,Q, R = + + ∂x ∂y ∂z ∂x ∂y ∂z Ex 8. Let f ( x, y, z ) = x sin yz , then F = ∇f = sin yz, xz cos yz, xy cos yz and ∂P ∂Q ∂R + + = 0 + −xz 2 sin yz + −xy 2 sin yz = −x sin yz y 2 + z 2 = − f ( x, y, z ) y 2 + z 2 divF = ∂x ∂y ∂z ∂R ∂Q ∂R ∂P ∂Q ∂P = x cos yz − xyz sin yz = , = y cos yz = , = z cos yz = and , so curlF = 0 . ∂y ∂z ∂x ∂z ∂x ∂y Thm: Suppose f(x,y,z) has continuous second-­‐order partial derivatives, then curl ( ∇f ) = curl fx , fy , fz = fzy − fyz , fxz − fzx , fyx − fxy = 0 divF = ∇ ⋅ F = ( ) ( ) ( ) ( ) Thm: If F is vector field defined on 3 whose component functions have continuous partial derivatives and curlF = 0 , then F is a conservative vector field. Thm: Suppose F = P,Q, R is a vector field on 3 and has continuous second-­‐order partial derivatives, then ⎛ ∂R ∂Q ⎞ ⎛ ∂P ∂R ⎞ ⎛ ∂Q ∂P ⎞ ∂R ∂Q ∂P ∂R ∂Q ∂P divcurlF = div − , − , − =⎜ − + − + − = 0 ⎝ ∂yx ∂zx ⎟⎠ ⎜⎝ ∂zy ∂xy ⎟⎠ ⎜⎝ ∂xz ∂yz ⎟⎠ ∂y ∂z ∂z ∂x ∂x ∂y Green’s Theorem (vector form): Let F = P,Q,0 = Pi + Qj + 0k ⎛ d d d ⎞ ∂Q ∂P , , × P,Q,0 ⎟ ⋅ 0,0,1 dA = ∫∫ − dA = ∫ F ⋅ dr ∂x ∂y ⎝ dx dy dz ⎠ D C ∫∫ ( curlF ) ⋅ k dA = ∫∫ ⎜ D D x ' ( t ) , y' ( t ) y' ( t ) ,−x ' ( t ) T' Thm: Let r ( t ) = x ( t ) , y ( t ) then T ( t ) = and n ( t ) = =N= r '(t ) r '(t ) T' Thm: Let F = P,Q be a vector field and r ' ( t ) = x ' ( t ) , y' ( t ) b ⎛ y' ( t ) ,−x ' ( t ) ⎞ F ⋅ n ds = C∫ ∫a ⎜⎝ P ( x (t ), y (t )),Q ( x (t ), y (t )) ⋅ r '(t ) ⎟⎠ r '(t ) dt = ⎛ ∂P ∂Q ⎞ ∫a P ( x (t ), y (t )) y'(t ) − Q ( x (t ), y (t )) x '(t ) dt = ∫a P dy − Q dx = ∫∫D ⎜⎝ ∂x + ∂y ⎟⎠ dA = ∫∫D divF ( x, y ) dA b b 84 Course: Accelerated Engineering Calculus II Instructor: Michael Medvinsky 6.6 Surface Integrals (13.6) The relationship of surface integral and surface area is analogical to the relationship between the line integral and arc length. Def: Let S be a surface r ( u,v ) = x ( u,v ) , y ( u,v ) , z ( u,v ) , (u,v ) ∈D . For a rectangular D the surface integral is defined by ∫∫ f ( x, y, z ) dS = lim m,n→∞ S ∑ ∑ f ( P ) ΔS m n * ij ij i=1 j=1 where Pij* is a sample point on the patch Sij which area is ΔSij ≈ ru × rv ΔuΔv . For a non rectangular domain ∫∫ f ( x, y, z ) dS = ∫∫ f ( r ( u,v )) ru × rv dA S D Example: for z = g ( x, y ) we have ∫∫ f ( x, y, z ) dS = ∫∫ f ( x, y, g ( x, y )) S ( g x )2 + ( g y ) 2 + 1 dA D Def: A two-­‐sided surface S is called oriented if the unit normal vector n is defined at every point (except the boundary points). The orientation is chosen by direction (positive or negative) of the unit normal, in other words by choosing the side. Example: A Mobius strip is one-­‐sided surface, therefore non orientable. A torus is two-­‐sided, so it can be oriented inward or outward. Def: A closed surface is a boundary of solid region. A closed surface is considered positive oriented if the unit normal points outward. Def: Flux of F across surface S is defined by ∫∫ F ⋅ dS = ∫∫ F ⋅ n dS . Note the S S difference between dS and dS and the similarity with dr . Corollary: ru × rv ru × rv dS = F ⋅ dS = F ⋅ n dS = F ⋅ F r u,v ⋅ ru × rv du dv = ∫∫ F ⋅ ( ru × rv ) du dv ( ) ( ) ru × rv ∫∫ ∫∫ ∫∫ ru ×rv ∫∫ S S S D ( ) D Examples: 1) For z=g(x,y) one get ∫∫ F ⋅ dS = ∫∫ P,Q, R ⋅ −gx ,−gy ,1 dA = ∫∫ −Pgx − Qgy + R dA S D D 2) Rate of flow of a fluid with density ρ and velocity field v is given by ∫∫ ρv ⋅ n dS . S 3) Electric flux of an electric field E through the surface S is given by ∫∫ E ⋅ dS . Furthermore, S Gauss’s Law says that a net charge enclosed by a closed surface S is Q = ε 0 ∫∫ E ⋅ dS where ε 0 is S a permittivity of free space. 4) Given a conductivity constant K of a substance and a temperature of a body given by u ( x, y, z ) , the rate of heat flow is given by −K∇u and the rate of heat flow by −K ∫∫ ∇u ⋅ dS . S 85 Course: Accelerated Engineering Calculus II Instructor: Michael Medvinsky Ex 9. Let F = x, y, z and r (ϕ ,θ ) = sinϕ cosθ ,sinϕ sinθ ,cosϕ ,0 ≤ ϕ ≤ π ,0 ≤ θ ≤ 2π r (ϕ ,θ ) = sin ϕ cosθ ,sin ϕ sin θ ,cosϕ rϕ = cosϕ cosθ ,cosϕ sin θ ,− sin ϕ rθ = − sin ϕ sin θ ,sin ϕ cosθ ,0 F ( r (ϕ ,θ )) ⋅ rϕ × rθ = r ⋅ rϕ × rθ = ( ) ( ) sin ϕ cosθ ,sin ϕ sin θ ,cosϕ ⋅ ( cosϕ cosθ ,cosϕ sin θ ,− sin ϕ × − sin ϕ sin θ ,sin ϕ cosθ ,0 ) = sin ϕ 2π π ∫∫ F ⋅ dS = ∫∫ sinϕ dA = ∫ ∫ sinϕ dϕ dθ = − 2π cosϕ S S π 0 0 0 86 = −2π ( −1− 1) = 4π